In this tutorial, we will continue developing a Bitcoin trading bot. We’ll integrate more technical indicators into our code, we try a newly proposed normalization technique, and of course, I’ll slightly modify the whole code that it could be much easier to test our trained models.
Welcome back to…
This tutorial will guide you through the simplest way to download historical cryptocurrency OHCL market data via exchange APIs. We’ll use this data to train our Reinforcement Learning Bitcoin trading agent that could finally beat the market!
Algorithmic trading is a popular way to address the rapidly changing and…
This tutorial will integrate a few most popular technical indicators into our Bitcoin trading bot to learn even better decisions while making automated trades in the market.
In my previous tutorials, we already created a python custom Environment to trade Bitcoin; we wrote a Reinforcement Learning agent to do…
Let’s improve our deep RL Bitcoin trading agent code to make even more money with a better reward strategy and test different model structures.
In the previous tutorial, we used deep reinforcement learning to create a Bitcoin trading agent that could beat the market. Although our agent was profitable…
In this tutorial, we will continue developing a Bitcoin trading bot, but this time instead of making trades randomly, we’ll use the power of reinforcement learning.
The purpose of the previous and this tutorial is to experiment with state-of-the-art deep reinforcement learning technologies to see if we can create…
In this part, we will extend the code written in my previous tutorial to visualize the RL Bitcoin trading bot using Matplotlib and Python. If you haven’t read my earlier tutorial and are not familiar with the code I wrote, I recommend reading it before reading this tutorial further.
In this tutorial, we will write a step-by-step foundation for our custom Bitcoin trading environment where we could do further development, tests, and automated trading experiments.
In my previous LunarLander-v2 and BipedalWalker-v3 tutorials, I gathered experience in writing Proximal Policy Optimization algorithms to get some background to start developing…
Welcome to my last YOLOv4 custom object detection tutorial from the whole series. After giving you a lot of explanations about YOLO, I decided to create something fun and exciting, which would be a Counter-Strike Global Offensive game aimbot.
What is an aimbot? The idea is to create an…
This tutorial is one of the last tutorials from my YOLO object detection tutorial series. So, after covering almost everything about YOLO, I thought it would be helpful to implement something exciting and fun. Then I remembered my old Counter-Strike Global Offensive TensorFlow aimbot, where I used TensorFlow to…
This tutorial is a brief introduction to multiprocessing in Python. At the end of this tutorial, I will show how to make TensorFlow and YOLO object detection work faster.
Multiprocessing refers to the ability of a system to support more than one processor at the same time. Applications in…
